Throttle Valve Fuzzy Control for Fast, Precise Positioning
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Solution Overview
Problem
Traditional throttle control systems for vehicles, such as those used in fuel cells, suffer from sub-optimal accuracy and response times, with typical accuracy deviations greater than 2 degrees and response times exceeding 0.5 seconds due to the use of PID controls.
Innovation Solution
The implementation of a throttle control system that employs a controller with a processor and non-transitory computer-readable medium, in conjunction with a throttle valve and sensors, utilizing fuzzy control accelerations and brake decelerations to precisely control the throttle valve's position, along with a Kalman filter to reduce noise and improve velocity estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If PID control is used in traditional throttle control systems, then the system structure is simple, but the accuracy deviation exceeds 2 degrees and response time exceeds 0.5 seconds
Solution Approach 1:
The patent changes the control parameters by switching from traditional PID control to fuzzy logic control with multiple acceleration levels (first fuzzy control acceleration, second fuzzy control acceleration, and jump control acceleration). This parameter change enables the system to achieve approximately 1 degree accuracy and 0.15 seconds response time by dynamically adjusting control strength based on position error and velocity estimates, fundamentally improving both precision and speed performance.
2Manufacturing precision
If traditional PID control is used, then the control algorithm is simple, but the accuracy deviation is greater than 2 degrees
Solution Approach 1:
The patent transforms the control approach by implementing fuzzy logic control with multiple acceleration parameters and a Kalman filter for velocity estimation. This changes the control paradigm from fixed-gain PID to adaptive fuzzy control, achieving approximately 1 degree precision through dynamic parameter adjustment while accepting increased algorithmic complexity.
Solution Approach 2:
The patent enhances feedback mechanisms by incorporating a Kalman filter to estimate throttle valve velocity from position data, and using this velocity information in the fuzzy control logic. This improved feedback loop enables more precise control decisions, achieving higher position precision through better state estimation and adaptive control responses.
3Speed
If traditional throttle control is used, then the response time exceeds 0.5 seconds, but the system structure remains simple
Solution Approach 1:
The patent dramatically improves response speed by implementing a multi-level acceleration strategy with first fuzzy control acceleration for initial movement, second fuzzy control acceleration for intermediate positioning, and jump control acceleration for final adjustments. This parameter-rich control approach reduces response time to approximately 0.15 seconds by optimizing acceleration at each control stage.
Solution Approach 2:
The patent segments the control process into distinct phases with different acceleration characteristics: initial acceleration phase, intermediate positioning phase, and final adjustment phase. This segmentation allows each phase to be optimized independently, achieving rapid 0.15 second response time through coordinated multi-stage control actions rather than uniform control throughout the movement.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach achieves improved accuracy deviations of approximately 1 degree and significantly reduces response times to about 0.15 seconds, enhancing the overall performance of the throttle control system.
Implementation Method 1
the position sensor comprises a Hall effect sensor
Data Source
AI summary
A throttle control system for a vehicle includes a controller comprising at least one processor and at least one non-transitory computer-readable medium, a throttle valve movable between valve positions, an input sensor to transmit a target position, and a position sensor configured to detect an instantaneous disposition of the throttle valve at one of the valve positions. The controller executes instructions stored in the at least one non-transitory computer-readable medium. The controller receives the target position signal and the detected position signal. The processor compares the target position signal and the detected position signal to the instructions, selects an output signal, and transmits the output signal to the throttle valve. A first fuzzy control acceleration, a brake deceleration, and a second fuzzy control acceleration based on the output signal are applied to move of the throttle valve toward the target position.